Acta Univ. Agric. Silvic. Mendelianae Brun. 2016, 64, 423-432

https://doi.org/10.11118/actaun201664020423
Published online 2016-05-04

Reliability Analysis of Temperature Influence on Stresses in Rigid Pavement Made from Recycled Materials

Aleš Florian1, Lenka Ševelová2, Jaroslav Žák3

1Lieberzeitova 23a, 614 00 Brno, Czech Republic
2Department of Landscape Management, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic
3Department of Civil Engineering, The Institute of Technology and Businesses in České Budějovice, Okružní 10, 370 01 České Budějovice, Czech Republic

Complex statistical and sensitivity analysis of principal stresses in concrete slabs of the real type of rigid pavement made from recycled materials is performed. The pavement is dominantly loaded by the temperature field acting on the upper and lower surface of concrete slabs. The computational model of the pavement is designed as a spatial (3D) model, is based on a nonlinear variant of the finite element method that respects the structural nonlinearity, enables to model different arrangement of joints, and the entire model can be loaded by thermal load. Four concrete slabs separated by transverse and longitudinal joints and the additional structural layers including soil to the depth of about 3 m are modeled. The thickness of individual layers, physical and mechanical properties of materials, characteristics of joints, and the temperature of the upper and lower surface of slabs are supposed to be random variables. The simulation technique Updated Latin Hypercube Sampling with 20 simulations is used for the reliability analysis. As results of statistical analysis, the estimates of basic statistics of the principal stresses σ1 and σ3 in 106 points on the upper and lower surface of slabs are obtained. For sensitivity analysis the sensitivity coefficient based on the Spearman rank correlation coefficient is used. As results of sensitivity analysis, the estimates of influence of random variability of individual input variables on the random variability of principal stresses σ1 and σ3 are obtained.

Funding

The research was supported by the project TA010226 “Optimization of design and realization of low capacity road pavements” of the Technology Agency of Czech Republic.

References

10 live references